What is trade-off between bias and variance in ml models?
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Explanation:
You now know that: Biasis the simplifying assumptions made by the model to make the target function easier to approximate. Variance is the amount that the estimate of the target function will change given different training data. Trade-off is tension between the error introduced by the bias and thevariance.
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